Legal judgment prediction (LJP) applies Natural Language Processing (NLP) techniques to
predict judgment results based on fact descriptions automatically. The present work …

In this paper, we discuss previous research in automatic prediction of court decisions. We
define the difference between outcome identification, outcome-based judgement …

An automated system that could assist a judge in predicting the outcome of a case would
help expedite the judicial process. For such a system to be practically useful, predictions by …

Natural language processing (NLP) based approaches have recently received attention for
legal systems of several countries. It is of interest to study the wide variety of legal systems …

In many jurisdictions, the excessive workload of courts leads to high delays. Suitable
predictive AI models can assist legal professionals in their work, and thus enhance and …

Artificial Intelligence in legal research is transforming the legal area in manifold ways.
Pendency of court cases is a long-lasting problem in the judiciary due to various reasons …

Legal judgment prediction (LJP) is an essential task for legal AI. While prior methods studied
on this topic in a pseudo setting by employing the judge-summarized case narrative as the …

Modeling law search and retrieval as prediction problems has recently emerged as a
predominant approach in law intelligence. Focusing on the law article retrieval task, we …

Abstract Legal Judgment Prediction (LJP) is a key problem in legal artificial intelligence,
which is aimed to predict a law case's judgment based on a given text describing the facts of …

Natural language processing (NLP) technologies and applications in legal text processing
are gaining momentum. Being one of the most prominent tasks in NLP, named-entity …